Machine Learning Engineer (TS/SCI)

Please review the job details below.
Maxar is seeking a talented and driven Machine Learning Engineer to join our innovative team. You will play a key role in developing and deploying cutting-edge machine learning and artificial intelligence solutions. This is an exciting opportunity to work with complex datasets, implement advanced algorithms, and contribute to impactful projects.
Location: Bolling AFB, Arlington, VA or Chantilly (hybrid)
Responsibilities:

• Design, develop, and implement machine learning models and algorithms for a variety of applications.
• Build and maintain scalable and robust machine learning pipelines.
• Collect, clean, preprocess, and analyze large datasets.
• Evaluate model performance and identify areas for improvement.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate machine learning solutions into existing systems.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Contribute to the development of best practices and standards for machine learning development and deployment.
• Document machine learning models, processes, and results clearly and effectively.
• Troubleshoot and debug machine learning models and systems.

Mandatory Qualifications:

• Must be a US citizen with an active TS/SCI clearance with CI Poly.
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• 12 years of experience.
• Demonstrated experience with the application of machine learning and artificial intelligence.
• Strong programming skills in languages such as Python.
• Solid understanding of machine learning concepts, algorithms, and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis using tools like Pandas and NumPy.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).

Highly Desired Qualifications:

• Advanced degree (Master's or Ph.D.) in a relevant field.
• Demonstrated experience with the application of machine learning and artificial intelligence within the Department of Defense and/or the Intelligence Community.
• Excellent oral and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
• Experience with deploying machine learning models in production environments.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

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In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position within California, Colorado, Hawaii, and the Washington, DC metropolitan area is:
$135,000.00 - $179,000.00
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: https://www.maxar.com/careers/benefits
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Maxar's Career page at the top of each job posting.
To apply, submit your application via Maxar's Career page.
Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.